Freedom report

Two barsScore 6.5

  • Free tierA free tier is on its own pricing page
  • Open codeNo open-source code on record
  • Runs widely2 of 6 device platforms
  • DocumentedPlans, terms and facts published

Vapourkit is a free, open-source desktop app for restoring and upscaling video on Windows and Linux. It processes videos using models and filters, including tools for denoising, artifact removal, and frame interpolation. A real-time preview shows output frames as processing advances, so users can adjust filters and rerun a workflow. A side-by-side viewer compares source and output; Video Compare is built into Windows and optional on Linux. Users can queue multiple videos with custom workflows, write custom VapourSynth filters, and save or share portable workflow files. Listed models include TSPAN / TFDAT VSR, AnimeJaNai, and AnimeSharpV4, with support for importing a user's own ONNX model. Inference backends include TensorRT, DirectML, and NCNN Vulkan, depending on operating system and GPU. Windows has a stable download; Linux downloads are nightly AppImages. Supported systems include Windows 10/11 x64 and compatible x86_64 glibc-based Linux distributions. The maker recommends at least 8 GB RAM and 6 GB VRAM.

Who it is for

Vapourkit may suit people restoring or upscaling video, from those using a simple load-and-process workflow to users building custom filters and batch pipelines. It is for Windows and compatible Linux systems.

What is good

  • Free and open source under GPL 3.0
  • Previews output while processing advances
  • Queues multiple videos with custom workflows
  • Supports importing a user's own ONNX model

What to know first

  • Linux downloads are currently nightly AppImages
  • DirectML is available on Windows only
  • Linux uses a curated filter catalog
  • Maker recommends at least 8 GB RAM and 6 GB VRAM

Freedom251 review

Vapourkit: the full review

Vapourkit offers video restoration workflows ranging from preview-and-adjust processing to custom filters and batch queues. Check the operating-system, GPU, memory, and Linux setup requirements before choosing it.

Vapourkit is a free desktop app for restoring and upscaling video with filters and AI models. It suits people who want to shape their own processing workflows, from a single video to repeatable batches. Its breadth of control is appealing, but Linux users face nightly downloads and a smaller filter catalog.

Overview

Vapourkit combines VapourSynth filters, FFmpeg and AI inference in workflows that can begin with loading a video and processing it or extend to custom filters and batch queues. Live output preview lets users judge frames as processing progresses, adjust filters and rerun the pipeline. A side-by-side source and output view adds a useful way to assess changes, though Video Compare is built in on Windows and optional on Linux.

Key features

Models, backends and filters

Built-in models include TSPAN / TFDAT VSR, AnimeJaNai and AnimeSharpV4, with support for importing a user's own ONNX model. TensorRT, DirectML and NCNN Vulkan provide inference options, but availability depends on the operating system and GPU; DirectML is Windows-only. The app also covers denoising, artifact removal and frame interpolation, alongside VapourSynth filters for tasks such as deinterlacing, restoration, sharpening, anti-aliasing, dehalo and debanding. This range favors users prepared to choose and tune a pipeline over those seeking a single fixed enhancement path.

Custom and repeatable workflows

Users can write custom filters, queue multiple videos with tailored workflows, and save or share portable .vkfilter and .vkworkflow files. That makes Vapourkit better suited to repeatable processing than a one-off utility, although building custom pipelines calls for more involvement than simply loading a file and processing it. Windows has more filters; Linux provides a curated, verified catalog.

Pricing

Vapourkit is free and open source under GPL 3.0, with a free plan priced at 0.00 USD per free. There is no paid tier or trial to weigh against a feature-capped free edition. The trade-off is practical rather than financial: Windows has a stable download, while Linux downloads are nightly AppImages, with stable Linux downloads planned for Ko-fi when released.

Platforms

Vapourkit is a desktop app for Windows 10/11 x64 and x86_64 glibc-based Linux distributions that can run AppImage. The maker recommends at least 8 GB RAM and 6 GB VRAM, so modest systems may not meet the recommended setup. Linux also requires Python 3.12 or 3.13, FFmpeg/ffprobe and a working Vulkan runtime. Its setup creates a private Python virtual environment under the user's configuration directory, without installing Python packages globally or requiring sudo. Windows users get DirectML and the broader filter catalog; Linux users have fewer filter choices and an optional Video Compare component.

Who it's for

Vapourkit fits video restorers and upscalers who want local desktop processing, a choice of models and filters, and the option to build custom pipelines or queue batches. It is also a reasonable fit for users comfortable managing the requirements of a Linux AppImage setup. It is a weaker match for anyone who needs a stable Linux release now, wants the full Windows filter selection on Linux, or prefers a minimal, fixed workflow over custom processing.

Pros and cons

  • Pros: Live preview and side-by-side comparison help users assess adjustments while refining a video pipeline.
  • Pros: Custom filters, batch queues and portable workflow files support tailored, repeatable jobs.
  • Pros: Free, open-source licensing avoids a paid plan barrier.
  • Cons: Linux currently relies on nightly AppImages and a curated filter catalog, limiting release stability and parity with Windows.
  • Cons: Recommended memory and VRAM requirements, plus Linux's Python, FFmpeg and Vulkan dependencies, may rule out some setups.
  • Cons: DirectML is limited to Windows, so backend options differ across platforms.

Alternatives

AI Video Restoration Software is the broader category to explore when comparing restoration tools. Choose Aiarty Video Enhancer instead if macOS support or a paid product with a free trial is a better fit; its free version limits videos to under 120 seconds, adds export watermarks and excludes batch export. Klarity is another free Linux and Windows restoration option for users considering a similar cross-platform choice. RestoraX may suit users who prefer MIT-licensed, self-hosted processing across GPU or CPU, rather than a desktop app. TensorPix is a web, API and self-hosted alternative with a forever-free plan based on weekly login credits and capped project and input limits. HitPaw VikPea is worth considering for its broader platform coverage, including mobile and web; its listed one-month Windows license costs 43.19 USD per month and renews automatically, with cancellation allowed at any time. Intelion Video Lab offers self-hosted or on-premise-oriented options for buyers considering a paid deployment, with custom pricing. Cognitech Video Investigator is a paid alternative with a listed annual cloud plan at 1399.00 USD per year. Loki Automation is another paid option for readers comparing web or Windows software.

Verdict

Choose Vapourkit if you want free, open-source desktop video restoration with room to customize filters, inspect previews and build batch workflows. Its flexibility is the main reason to choose it; Linux's nightly releases, reduced filter catalog and setup requirements are the main reasons to look elsewhere.

Vapourkit plans and pricing

All plans
Vapourkit Free Free, open-source app; Windows stable download; Linux nightly AppImage ko-fi.com · 4 Oct 2026

Compared on AI video restoration software

Free plan
Yes
Platform
desktop
Denoising
Yes
Artifact removal
Yes
Frame interpolation
Yes

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